Principal Statistician

- Master's degree or Doctoral degree in Statistics or a related field and six years of professional statistical experience; or an equivalent combination of education and experience; and knowledge and abilities. (Required)
- Training in a variety of advanced statistical modeling techniques including linear, logistic, and Poisson regression models, mixed effect modeling, Cox proportional hazards models, and longitudinal analytic approaches. (Required)
- Experience with modern machine learning approaches, including Gradient boosting, random forest, neural networks, and ensemble methods (e.g., SuperLearner). (Required)
- Strong communication skills as a statistical consultant; research meetings for quantitative projects are led by interactive presentations of results by the principal statistician. (Required)
- Excellent skills in designing, maintaining, updating, and manipulating large databases. (Required)
- Knowledge and experience with advanced statistical programming and data management using STATA, SAS, R, python, SQL or other programs. (Required)
- Ability to provide custom designed reports and graphical presentation of data using cutting edge R graphics (tidyverse) and also STATA, SAS, Excel, and others as needed. (Required)
- Experience in synthetic data, its role in reproducible research, and its importance to work with restricted data from the VA, CMS, and other sources. (Required)
- Enthusiasm for learning and problem solving. (Required)
- Ability to work effectively both independently and as part of a team. (Required)
- Strong interpersonal, organizational, teaching, and communication skills. (Required)